code: def manage_all_configs(save_results, filename):
      """Manages configuration detection and retrieval based on user input.
  
      Args:
        save_results: Boolean indicating whether to save the results to a file.
        filename: String that is the name of the output JSON file.
      """
      # Get all configs
      all_configs = get_all_configs()
      # Print all configs based on user input
      print_all_configs(all_configs[0], all_configs[1], all_configs[2])
      # Save all configs to a file based on user request
      if save_results:
          save_to_file(all_configs[3], filename)
  
imports: import collections
  import json
  import re
  import subprocess
  import sys
  from absl import app
  from absl import flags
  from tensorflow.tools.tensorflow_builder.config_detector.data import cuda_compute_capability
label_desc: Use image node_id 21 for calling a global function with example usage: manage_all_configs(save_results, filename) without return types